Python framework for short-term ensemble prediction systems.
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Updated
Oct 8, 2026 - Python
Python framework for short-term ensemble prediction systems.
Heavy rainfall intensity as a function of duration and return period is defined according to DWA-A 531 (2012). This program reads rainfall measurement data and calculates the distribution of design rainfall as a function of both return period and duration, for durations up to 12 hours (and beyond) and return periods in the range 0.5 a ≤ Tₙ ≤ 100 a.
An open-source python software for standardized processing, sharing, and analysis of disdrometer data
📡 Process meteorological radar data. 📡
Code for the SIGMOD 2023 paper "SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation".
Rainfall prediction models (Linear and Logistic) trained on publicly available datasets from Austin, Texas
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Code for the DASFAA 2023 paper "Rainfall Spatial Interpolation with Graph Neural Networks".
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STOchastic Rainstorm Model v2.0
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Interactive Streamlit dashboard to verify gridded rainfall/precipitation forecasts (deterministic & ensemble, NetCDF + GRIB2) against observations — POD/FAR/CSI/ETS/HSS, EDI/SEDI/EDS/SEDS, Brier/BSS/CRPS, FSS & CRA, reliability/ROC/rank/PIT/Taylor plots, per-cell score maps, bootstrap CIs, CSV/PNG export. Runs on bundled demo data.
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